Skill UI

This tool facilitates interactive dynamic malware analysis using the ANY.RUN cloud sandbox. It allows analysts to detonate suspicious samples, observe real-time execution behavior, and manually interact with prompts (like dialogs or CAPTCHAs). Key outputs include detailed process trees, network traffic analysis (C2 communication), and identification of all Indicators of Compromise (IOCs), mapping observed behaviors to MITRE ATT&CK. Essential for rapid, sophisticated behavioral analysis without maintaining local sandbox infrastructure.

Guides users through a structured 23-step interview to design, generate, and deploy Claude plugins across claude.ai and Claude Code, handling activation prompts, platform quirks, and GitHub pushes.

This comprehensive skill guides the user through the entire process of creating a deep, multi-layered AI persona (Soul.md). It helps define the identity, core rules, name, and visual prompts for agents designed for the OpenClaw platform. Users can initiate character creation via guided prompts or a random 'gacha' draw, ensuring a cohesive and compelling character profile.

This skill provides expert guidance on treating prompts as first-class infrastructure. It covers prompt registry design, systematic versioning, A/B testing, and building comprehensive evaluation pipelines. It ensures that prompt changes are rigorously tested and deployed safely, preventing quality regressions in production AI features at scale.

Guide PM interview candidates through a six-part spoken structure—clarify, rationale, goal, segmentation, pain points, solution—to craft thoughtful product-sense answers for design, improve, or build-next prompts without jumping to solutions too early.

A comprehensive set of specialized tools for deep interaction with source codebases. This context-mode is mandatory for advanced tasks such as running code snippets, analyzing files, batch processing repository commands, indexing knowledge, searching content, and fetching web data. It ensures that interactions are context-aware and highly efficient, moving beyond basic file listing or general chat prompts.

Analyzes accumulated ARIS usage logs to propose optimizations for SKILL.md prompts, reviewer settings, and workflow defaults. A read-only producer that stages patches for human-gated review.

Hookify rules enable developers to define custom, event-driven workflows using Markdown files with YAML frontmatter. These rules monitor specific operational events (such as bash commands, file edits, or user prompts) and can trigger warnings or block operations when predefined regex patterns are matched. They are essential for enforcing coding standards, preventing dangerous operations, and guiding development adherence in complex software environments.

Guides configuring Firebase AI in Flutter, generating text/chat with Gemini, streaming responses, multimodal prompts, and handling errors with security considerations.

Provides the Google Model Armor CLI to filter user-generated content and run template-guided sanitization for prompts or responses, helping teams enforce safety policies during automation workflows and schema-driven inspections.

Sanitize user prompts through Google Model Armor templates via the gws CLI command, ensuring outbound safety and supporting stdin, text, or explicit JSON inputs for prompt filtering.

Creates high-fidelity visuals through structured JSON prompts and a Python generator script, handling subjects, styles, references, and technical specs for characters, scenes, or products.